Chinese General Practice ›› 2019, Vol. 22 ›› Issue (26): 3209-3216.DOI: 10.12114/j.issn.1007-9572.2019.00.489

• Monographic Research • Previous Articles     Next Articles

Multidimensional Analysis of the Healthcare Big Data Policy Documents in China 

  

  1. 1.School of Management,Shanxi Medical University,Taiyuan 030001,China
    2.School of Humanities and Social Sciences,Shanxi Medical University,Taiyuan 030001,China
    *Corresponding author:HE Peifeng,Professor;E-mail:hepeifeng2006@126.com
  • Published:2019-09-15 Online:2019-09-15

我国健康医疗大数据政策文献的多维分析

  

  1. 1.030001山西省太原市,山西医科大学管理学院 2.030001山西省太原市,山西医科大学人文社会科学学院
    *通信作者:贺培凤,教授;E-mail:hepeifeng2006@126.com
  • 基金资助:
    基金项目:国家自然科学基金资助项目(71573162);山西省教育科学“十三五”规划“1331工程”研究专项课题(ZX-18020)

Abstract: Background China has promulgated a series of healthcare big data policies in recent years.The analysis of these policy documents is mostly qualitative,so there is a lack of the quantitative analysis.Objective To analyze China's state-level healthcare big data policy documents from multidimensional perspectives,and to grasp the basic characteristics and policy objectives of these documents on the whole,in order to provide a new idea and practical reference for the formulation and improvement of healthcare big data policy in China.Methods In this article,the Python program was used to capture the policy texts on the official website of the National Health Commission,from which 179 healthcare big data policy documents were chosen as the research objectives.The search deadline was December 31,2017.Statistical methods were used to analyze the external features of healthcare big data policy documents from three dimensional perspectives,i.e.policy year,policy type and policy subject.The VOSviewer was used to cluster the keywords that characterize the content of the policy texts.The visualization was done by Pajek.Results From the perspective of external characteristics,the development of China's state-level healthcare big data policy had experienced a budding period and entered a period of rapid development.The efficiency-led policies account for the majority,including “letter” “opinion” and “notification”,accounting for 34.1%(61/179),17.9%(32/179),and 16.2%(29/179),respectively.The National Health Commission issued the most in 143 solo-issued policy documents,accounting for 69.9%(100/143),and participated most in the joint-issued policy documents,accounting for 16.3%(28/172).There was a wide cooperation among policy subjects involving various aspects of government,industry and academy.From the perspective of internal themes,the relevant policies focused on healthcare big data in its construction,applications,services and artificial intelligence assisted treatment.Conclusion From the perspective of external characteristics,China's state-level healthcare big data policy documents are currently focusing on the promotion and popularization of policies.The National Health Commission is the main force of policy formulation.From the perspective of internal themes,the construction of China's healthcare big data is still in its infancy,and healthcare big data can be applied to various fields such as diseases,medicine,and old-age care,based on which telemedicine,hierarchical diagnosis and treatment,and community healthcare can be developed in order to provide convenience and benefit for people.The relevant policy documents emphasize the standardization of intelligent medical technology based on big data covering a wide range of topics.

Key words: Benchmarking, health care;Healthcare big data;Bibliometrics;Policy text;Content analysis;China

摘要: 背景 近年来,我国颁布了一系列健康医疗大数据政策,目前有关健康医疗大数据政策的分析多为定性研究,缺乏定量研究。目的 多维度分析我国国家层面健康医疗大数据政策文献,从整体上把握我国健康医疗大数据政策的基本特征与政策目标,以期为我国健康医疗大数据政策制定和完善提供新思路和切实参考。方法 文章使用Python自编程序抓取国家卫生健康委员会官方网站中的政策文本,以179篇健康医疗大数据相关政策为研究对象,检索截止日期为2017-12-31。运用统计分析方法从政策年度、政策类型和政策主体3个维度分析我国健康医疗大数据政策文献的外部特征。运用VOSviewer对表征政策文本内容特征的关键词进行聚类分析,并以Pajek对其进行可视化分析。结果 从外部特征来看,我国国家层面健康医疗大数据政策的发展经历了萌芽期,已进入快速发展期;“函”“意见”和 “通知”等效率优先的政策形式较多,分别占34.1%(61/179)、17.9%(32/179)、16.2%(29/179);国家卫生健康委员会在单独发文的143篇政策文献中发文最多,占69.9%(100/143),在联合发文中与其他机构的合作关系最多,占机构间所有合作关系数的16.3%(28/172),政策主体之间的合作比较广泛,政策的制定涉及政府、产业和研究各个方面。从内部主题来看,相关政策聚焦健康医疗大数据建设、应用、服务和人工智能辅助诊疗4个方面。结论 从外部特征来看,我国健康医疗大数据政策目前比较注重政策的推进和普及。国家卫生健康委员会是政策制定的主要力量。从内部主题来看,我国健康医疗大数据的建设尚处于起步阶段,健康医疗大数据可以应用于疾病、医药和养老等各个领域,以此来发展远程医疗、分级诊疗以及社区医疗,从而推进便民惠民工程。相关政策内容强调基于大数据的智能医疗技术的规范化,涉及内容广泛。

关键词: 规范, 卫生保健;健康医疗大数据;文献计量学;政策文本;内容分析;中国